Threat Management Specialist (Tier 2)

PlanIT Group, LLC

Reston (VA)

On-site

USD 120,000 - 150,000

Full time

47 hours ago
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Job summary

PlanIT Group, LLC in Reston, VA seeks Tier 2 Analysts to perform deep-dive incident analysis by correlating data from various sources and advising on remediation actions. They leverage AI, ML, and SOAR capabilities to improve CSOC efficiency and accuracy.

You're expected to support automation initiatives, stay current on cybersecurity trends, and collaborate with Threat Management to enhance detections and responses across cloud and on-prem environments.

Qualifications

  • Experience in IT security with exposure to AI/ML projects.
  • Strong network traffic analysis and threat management skills.
  • Familiarity with IDS/IPS architectures and cloud security.
  • Hands-on with automation and SOAR platforms.
  • Proficient in data analysis and feature engineering for ML.
  • Experience across multiple security platforms and tools.

Responsibilities

  • Identify cybersecurity problems requiring mitigations.
  • Analyze network traffic for exploit or intrusion attempts.
  • Recommend detection mechanisms for intrusions.
  • Provide SME on attacks, tools, and methodologies.
  • Escalate items needing further investigation.
  • Execute response processes and remediation actions.
  • Utilize AI/ML to detect anomalies and triage incidents.
  • Perform threat intelligence and adapt defenses using ML.
  • Manage email security and monitor for threats.
  • Configure Splunk for log analysis and alerts.
  • Set up FirePower for network monitoring and security.
  • Deploy Sentinel 1 agents and conduct security assessments.
  • Monitor alerts across Defender, Azure, and GCC SCC.
  • Coordinate incident response and remediation actions.
  • Tune policies and maintain visibility in cloud/endpoint estates.
  • Stay current on cyber trends and AI/ML research.
  • Identify and support automation use cases in SOC.

Skills

IT security
Network analysis
AI/ML projects
Threat management
IDS/IPS
Cloud security

Education

Bachelor's degree in cybersecurity

Tools

ProofPoint
Splunk
FirePower
SentinelOne
Defender suite
Azure AD / Defender
Google Cloud SCC

Job description

Position 1

  • Hours: 3:30pm to 11:30pm ET
  • Days off: Tuesday and Wednesday

Position 2

Hours: 11:30pm to 7:30am ET

Days off: Saturday and Sunday

The Tier 2 Analysts perform deep-dive incident analysis by correlating data from various sources and determines if a critical system or data set affected. Handle incidents as defined in Playbooks and SOPs. They also advise on remediation actions and provide input and analysis on how to leverage Artificial Intelligence, Machine Learning, and SOAR capabilities to improve CSOC efficiency and accuracy

Key Responsibilities
  • Identification of Cybersecurity problems which may require mitigating controls
  • Analyze network traffic to identify exploit or intrusion related attempts
  • Recommend detection mechanisms for exploit and or intrusion related attempts
  • Provide subject matter expertise on network-based attacks, network traffic analysis, and intrusion methodologies
  • Escalate items which require further investigation to other members of the Threat Management team
  • Execute operational processes in support of response efforts to identified security incidents
  • Utilize AI/ML-based tools and techniques to detect anomalies, automate incident triage, and improve threat intelligence
  • Performing and analyzing threat intelligence to assess risk and adapt defenses using ML enhance tools
  • Manage email security using ProofPoint, monitor for threats, and promptly respond to attacks
  • Configure Splunk for log analysis, create alerts, and investigate security incidents diligently
  • Set up FirePower for network monitoring, analyze traffic patterns, and enforce robust security measures
  • Deploy Sentinel 1 agents efficiently, monitor alerts closely, and conduct thorough security assessments
  • Monitoring, reviewing, and responding to security alerts and incidents across multiple platforms including Microsoft Defender for Cloud Apps, Defender for Endpoint, Defender XDR, Defender for Office 365, Azure Entra ID, and Google Cloud Security Command Center (SCC)
  • Performing threat detection and analysis, investigating suspicious activity, coordinating incident response efforts, and implementing remediation actions
  • Tuning security policies, maintaining visibility into cloud and endpoint environments, and supporting continuous improvement of the organization’s security posture
  • Stay current on the latest cybersecurity trends, threat actors, and AI/ML research relevant to the field
  • Identify and support automation use cases, including the use of AI/ML to enhance SOC capabilities.
  • Collaborate across Operations to provide SOC enhancement capabilities through the use of automation and AI.
Qualification Requirements
  • 3+ years IT security experience with at least some exposure to AI/ML projects
  • 2+ years' experience in network traffic analysis
  • Strong working knowledge of:
  • Boolean Logic
  • TCP/IP Fundamentals
  • Network Level Exploits
  • Threat Management
  • Knowledge of Control Frameworks and Risk Management techniques
  • Excellent oral, written communication skills and excellent interpersonal and organizational skills
  • Strong understanding of IDS/IPS technologies, trends, vendors, processes and methodologies
  • Strong understanding of common IDS/IPS architectures and implementations
  • Strong understanding of IDS/IPS signatures, content creation and signature characteristics including both signature and anomaly-based analysis and detection
  • Experience with cloud security (AWS, Azure, GCP)
  • Hands-on experience with cybersecurity automation (e.g., SOAR platforms).
  • Proficiency in using machine learning frameworks to develop, train, and deploy models for anomaly detection, threat intelligence, and behavioral analysis in cybersecurity contexts.
  • Skills in data analysis and feature engineering, with the ability to preprocess and transform large datasets from various sources (e.g., logs, network traffic) to extract relevant features for machine learning models aimed at identifying security incidents and vulnerabilities.
  • Familiarity with the application of AI/ML techniques in cybersecurity, including but not limited to automated threat detection, incident response automation, and predictive analytics. Experience in evaluating the effectiveness of AI/ML solutions in a SOC environment is a plus.
  • Understanding and experience identifying and implementing automation use cases.
Experience
  • A minimum of eight (8) to twelve (12) years' relevant experience.
  • A degree from an accredited College/University in the applicable field of services is required. If the individual's degree is not in the applicable field then four additional years of related experience is required.
  • Typically performs all functional duties independently.
  • One or more relevant certifications such as GIAC Certified Enterprise Defender (GCED), GIAC Certified Security Essentials (GSEC), CISSP, or SSCP desired
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